2018
DOI: 10.1017/s000748531800010x
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Temporal changes in arthropod activity in tropical anthropogenic forests

Abstract: Arthropod communities in the tropics are increasingly impacted by rapid changes in land use. Because species showing distinct seasonal patterns of activity are thought to be at higher risk of climate-related extirpation, global warming is generally considered a lower threat to arthropod biodiversity in the tropics than in temperate regions. To examine changes associated with land use and weather variables in tropical arthropod communities, we deployed Malaise traps at three major anthropogenic forests (seconda… Show more

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Cited by 9 publications
(8 citation statements)
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“…As these deployments totaled 93 weeks, trap catches averaged 570 specimens a week. As reported in prior studies [ 19 , 48 , 50 ], Diptera and Hymenoptera dominated the catch. BIN compliant sequences were recovered from 84% of the specimens, a value similar to those reported for specimens from Malaise traps deployed in Canada [ 19 ] and Europe [ 48 ].…”
Section: Discussionsupporting
confidence: 79%
See 1 more Smart Citation
“…As these deployments totaled 93 weeks, trap catches averaged 570 specimens a week. As reported in prior studies [ 19 , 48 , 50 ], Diptera and Hymenoptera dominated the catch. BIN compliant sequences were recovered from 84% of the specimens, a value similar to those reported for specimens from Malaise traps deployed in Canada [ 19 ] and Europe [ 48 ].…”
Section: Discussionsupporting
confidence: 79%
“…Because it remains critical to extend the DNA barcode reference library through specimen-based analysis [ 59 ], it is important that new sequencing platforms are leading to substantial reductions in analytical costs [ 51 ]. Moreover, once libraries are well parameterized, metabarcoding studies [ 50 , 60 ] will permit detailed tracking of biodiversity trajectories at scales that would otherwise be impossible.…”
Section: Discussionmentioning
confidence: 99%
“…For this, DNA metabarcoding approaches are the most frequently applied. Metabarcoding of bulk insect samples has, for example, been used to characterize the diversity of insects in montane landscapes in tropical southern China (Zhang et al, 2016), explore the insect diversity in a Saharo-Arabian region with otherwise sparse fauna information (Ashfaq et al, 2018), and monitor temporal changes in arthropod communities in different forest types (Brandon-Mong et al, 2018). Unique identifiers are added to sample amplicons before they are sequenced in parallel on a high-throughput sequencing platform.…”
Section: Introductionmentioning
confidence: 99%
“…The targeted nature of metabarcoding means that it is a cost-effective and efficient method for identifying the taxonomic contents of hundreds to thousands of samples in parallel (Galan et al, 2018;Taberlet et al, 2012). Metabarcoding of bulk insect samples has, for example, been used to characterize the diversity of insects in montane landscapes in tropical southern China (Zhang et al, 2016), explore the insect diversity in a Saharo-Arabian region with otherwise sparse fauna information (Ashfaq et al, 2018), and monitor temporal changes in arthropod communities in different forest types (Brandon-Mong et al, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…However, the choice of metabarcoding primer set is an important decision, as PCR amplification bias can occur when having mismatches between the primer and the target sequences (Krehenwinkel et al, 2017). Metabarcoding of bulk arthropod samples has been used to quantify the biological impacts of logging and planting oil palm (Edwards et al, 2014); to characterise the diversity of insect samples in montane landscapes in tropical southern China (Zhang et al, 2016); to monitor temporal changes in arthropod communities in different forest types (Brandon-Mong et al, 2018); to measure biodiversity response to subtle differences in forest environmental condition (Barsoum et al, 2019); to follow changes in an invertebrate community in an ecosystem under restoration after sand mining (Fernandes et al, 2019); and to assess reclamation trajectories after mining (Gervan et al, 2020) [i.e., when the area again has a useful function (SER, 2004)]. However, we are far from defining baselines for assessing rehabilitation and from understanding the multiple factors that influence arthropod diversity in post-mining areas under rehabilitation, such as the season in which samples were collected and primer bias.…”
Section: Introductionmentioning
confidence: 99%